Data & Analytics

omicverse Bundle

Cell-type composition deconvolution of bulk RNA-seq using a single-cell reference. Wraps `ov.bulk.Deconvolution` with four interchangeable backends — TAPE, Scaden, BayesPrism, OmicsTweezer — under one constructor / one `.deconvolution(method=...)` call. Use when inferring cell-type fractions from bulk samples given a paired scRNA-seq atlas, when reproducing `t_decov_bulk`, or when comparing deep-learning vs. Bayesian deconvolution methods on the same cohort.

omicverse Bundle

Map free-text cell-type annotations to the Cell Ontology (CL) via NLP-based sentence-transformer matching, with optional LLM-driven abbreviation expansion and Cell Taxonomy taxonomy enrichment. Use when standardising author-shorthand cell-type names to canonical CL terms (e.g. 'TIL-1' → 'tissue-resident memory CD8+ T cell, CL:0000625'), when running cross-cohort label harmonisation, or when reproducing `t_cellmatch`.

chefroger Bundle

客户档案与分级管理 — A/B/C 分级、客户详情、文档库关联、CSV 批量导入

chefroger Bundle

外贸单证生成 — 生成报价单/PI/合同/商业提案等外贸专用文档（DOCX/XLSX/PPTX）

chienchuanw Bundle

Act as a professional concert lighting designer on grandMA2: design each song's looks from its audio energy, its section map and the rig's real 3D geometry (MVR), then program them into that song's cues as preset-referenced values with layered fade times, per-song effects locked to the BPM speed master, plus a follow-spot sheet for the operator. Use whenever the user wants the lighting itself designed or programmed — "design the lighting for this song", "program the looks", "fill in the cues", "what should this chorus look like", "設計燈光", "編燈", "打光". Requires the gma2 MCP connected (connect skill) and the song's sequence with labelled empty cues already built (setlist + cuelist skills); the presets skill supplies the palettes this skill references. NOT for UI, web or graphic design (that is the separate design-canvas skill), and NOT for building the empty cue skeleton from a CSV (that is cuelist).

chienchuanw Bundle

Import a song's cue-list CSV (section markers like PGM IN / INTRO / VER 1 / CHOR 1 with a number, name, and timecode) into that song's grandMA2 sequence, building each section as a labelled cue so the operator gets a navigable skeleton to program against. Use whenever the user hands over a per-song CSV of cues/sections and wants it pushed onto the console — "save this cue list to the sequence", "import these cues", "build the cues from this CSV", "turn this section map into cues for the song", or points at a file named like `S1_<song>.csv`. Assumes the song's sequence already exists (built by the setlist skill) and the gma2 MCP is connected (connect skill). Prefer this over hand-typing Store commands — it parses the CSV, maps it to the right sequence, guards against clobbering existing cues, and verifies the result.

dobroslavradosavljevic Bundle

Build, review, debug, configure, migrate, teach, or plan Bun JavaScript/TypeScript work with current docs and a full usage guide. Use for bun runtime, bun install/add/remove/update/ci, bun.lock, workspaces catalogs overrides, trustedDependencies, bunx, Bun.serve, bun:sqlite, Bun.redis, Bun.SQL, Bun.file, Bun.$, bun test, bun build --compile, bunfig.toml, Node.js compatibility, --hot/--watch, and npm/pnpm/yarn migration to Bun.

dobroslavradosavljevic Bundle

Build, review, debug, migrate, or plan Effect v4 beta TypeScript code with current docs. Use for effect@beta, Effect, Effect.gen, Context.Service, Context.Reference, Layer, ManagedRuntime, Config, ConfigProvider, Scope, Fiber, Stream, Queue, Result, Cause, Schema v4, Schema.Class, Schema.TaggedErrorClass, Schema.decodeUnknown, Schema.encode, unstable modules, effect/unstable/http, platform packages, @effect/vitest, and Effect v3 to v4 migrations.

winstonkoh87 Skill

DuckDB-powered analytical engine for large data dumps (JSON, CSV, Parquet). Ingest → Profile → Query → File insights.

winstonkoh87 Skill

Unified post-trade analytics: journal pattern extraction + drawdown classification. Absorbs: drawdown-classifier.

poorgramer-zack Skill

Hive CE (Community Edition v2.19.x) NoSQL object database for Flutter providing blazing-fast key-value and object storage with TypeAdapters. Use this skill when implementing offline-first architecture, high-performance local data caching, NoSQL document-style object stores, custom TypeAdapter serialization for complex objects, lazy loading boxes for memory efficiency, encrypted boxes (HiveAES encryption), database compaction for size optimization, storing large datasets without SQL schema overhead, implementing local-first sync patterns, or migrating from SQLite to NoSQL. Supports primitive types, custom objects, lists, and maps. Ideal for apps requiring ultra-fast read/write operations (microsecond latency), object persistence without ORM complexity, or local-first data architecture.

poorgramer-zack Skill

Implements type-safe reactive SQL persistence in Flutter using Drift v2.32 (formerly Moor) built on SQLite with automatic code generation. Activates when defining table schemas with Drift DSL, writing type-safe join or subquery operations, handling schema migrations with MigrationStrategy, using reactive watch() streams for live UI updates, implementing ACID transactions, defining foreign key constraints or cascade deletes, enabling WAL mode for write performance, troubleshooting generated .g.dart type mismatches, migrating from sqflite or sqlite3 v2 to v3, using DAOs for query separation, or building offline-first apps requiring strong relational data integrity and compile-time SQL verification.

shoji9x9 Bundle

仕様を変えないアプリケーションリプレイスで、現行と新側の比較を成立させるための共通ゴールデンデータセットを構築する replace-strategy の姉妹スキル。データそのものではなく、冪等・決定論的な投入ツール（TypeScript か SQL）を作る。本番環境は参照せずデータを一から作る。新側スキーマは後から出来るため 2 フェーズに分ける（A は論理データ設計と現行テスト環境への投入・検証、B は新側スキーマへの写像・投入・現新一致検証）。投入先の環境は --target で選ぶ（フェーズ B の記録は target 別）。データセットにバージョンを持たせ parity-suite / parity-diff のベースライン陳腐化検出に使う。replace-strategy setup 完了が前提。「ゴールデンデータセットを作って」「テストデータを投入して」「golden-dataset」や --phase / --target を伴う依頼で発動する。

amplitude Bundle

Set up Amplitude analytics in this codebase using the Amplitude Wizard agent contract. Use whenever a user asks to install Amplitude, instrument analytics events, configure Amplitude SDK, connect this app to Amplitude, or wire up tracking with @amplitude/wizard.

amplitude Bundle

Amplitude integration for any Python application using the amplitude-analytics package

amplitude Bundle

Amplitude integration for client-side web JavaScript applications using @amplitude/unified (or @amplitude/analytics-browser for existing projects)

amplitude Bundle

Amplitude integration for server-side Node.js applications using @amplitude/analytics-node

amplitude Skill

Amplitude Quickstart Taxonomy Agent — expert implementation strategist for a "starter kit" tracking plan: 10–30 high-signal events and properties from URL(s), codebase, and user context. Use when naming events, scoping instrumentation, mapping funnels, or producing a JSON taxonomy aligned to Amplitude analysis (funnels, retention, journeys, group analytics). In the wizard, pair with instrumentation skills; there is no Langley web-crawl stack — gather context with Read/Grep/Glob, WebFetch when available, Amplitude MCP get_context, and the user's free-text goals.

jsonlee12138 Bundle

Use CloudBase document database Web SDK only for confirmed NoSQL collection work. Query, create, update, and delete document data; if the task mentions PostgreSQL / CloudBase PG / app.rdb(), route to postgresql-development instead.

jsonlee12138 Bundle

Use CloudBase document database WeChat MiniProgram SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.

alibaba Bundle

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards.

rachitkumarrastogi Skill

Use to inventory ads and crash/analytics SDKs: Unity Ads, AdMob, ironSource, Sentry, Crashlytics, BugSnag, Unity Analytics.

ptn1411 Bundle

Authorized web application testing from the CLI. Subdomain enumeration (crt.sh / subfinder / DNS brute) with dangling-CNAME subdomain-takeover detection to map the whole estate, per-host passive recon (security headers / cookies / TLS / advanced CORS bypass tests), non-destructive active vulnerability checks (exposed .git/.env, reflected XSS, open redirect, path traversal, header injection, SSTI, SSRF-to-metadata, directory listing) with link crawling, optional nuclei & ffuf, and guarded sqlmap SQL injection testing — one orchestrated whole-system scan into a severity-ranked findings report.

stephenrogan Bundle

Analyses portfolio-level trends across customer segments to identify systemic patterns affecting multiple accounts. Use when asked to analyse portfolio health by segment, identify cohort-level churn patterns, compare retention across tiers or industries, build portfolio health reports, detect systemic issues across the book, assess segment-level risk, or when leadership needs a strategic view of CS performance beyond individual accounts. Also triggers for questions about cohort analysis, segment benchmarking, portfolio-level NRR drivers, or CS capacity planning inputs.

stephenrogan Bundle

Automatically logs activities, updates CRM fields, and maintains data accuracy across the CRM by syncing information from email, calendar, call transcripts, and product analytics. Detects and flags data inconsistencies, stale records, and missing fields. Use when asked to update CRM records, auto-log activities, sync account data, maintain CRM hygiene, or automate CRM field updates. Also triggers for questions about CRM accuracy, activity logging automation, data sync between systems, CRM data quality, or field reconciliation.

stephenrogan Bundle

Generates data-populated QBR presentation decks by pulling usage metrics, health data, support history, value evidence, and adoption analytics into a structured slide format by segment. Produces a deck the CSM customises with strategic narrative and recommendations. Use when asked to build a QBR deck, prepare business review slides, generate a customer presentation with data, populate a QBR template, or when lo-qbr-orchestrator triggers content preparation. Also triggers for questions about QBR content, business review presentations, customer-facing data decks, or quarterly review materials.

mikkelkrogsholm Skill

Drizzle ORM — lightweight, TypeScript-first SQL ORM with schema-as-code and zero-dependency query builder. Use when building with Drizzle ORM or asking about its schema definition, migrations, query builder, relations, or integration with databases like PostgreSQL, MySQL, or SQLite. Fetch live documentation for up-to-date details.

mikkelkrogsholm Bundle

GDPR compliance for European developers. Use when building features that handle personal data: user registration, profiles, authentication, email sending, analytics, error tracking, payments, search indexes, background jobs, or any feature that stores, processes, or transmits information about people. Provides stack-aware gotchas, anti-patterns to avoid, and schema design principles. Does not ask questions — applies principles proactively based on what is being built.

choxos Skill

Epidemiological analysis methods in R for cohort, case-control, confounding control, and causal inference.

flowleap-ai Skill

Start here — the umbrella skill for the FlowLeap Patent AI CLI. Maps every command family (patent/USPTO/OPS/academic/NPL/legal/citation reads, analytics, OCR, one-call patent verbs, the tools facade, and the raw API escape hatch) and routes to the specialist skills. Trigger when a user asks an agent to use FlowLeap, query the FlowLeap backend, verify local or deployed FlowLeap API health, run patent research commands, or debug FlowLeap CLI/API behavior.

flowleap-ai Skill

Portfolio Analytics AND guarded SQL over the PATSTAT snapshot — structured-criteria aggregation by named applicant, CPC/IPC class, office, year, family, and grant status, with harmonized entity resolution and Data Edition provenance; plus agent-written SELECTs against the flowleap.* semantic views for any aggregate the typed commands don't cover (landscapes, grant rates, citation impact, inventor analytics). Trigger when an agent needs a named applicant's filing portfolio, structured-criteria corpus counts (not free-text search), any other PATSTAT aggregate, or any number that must carry a PATSTAT edition citation.

flowleap-ai Skill

IP-analyst persona for the FlowLeap CLI — technology-landscape mapping, portfolio assessment, white-space identification, and filing-trend analytics. Trigger when the user asks the agent to act as an IP analyst, map a landscape, assess a competitor portfolio, or report patent filing trends.

flowleap-ai Skill

Graph Analytics over the PATSTAT snapshot — a named node and the relationships around it. Worldwide DOCDB citation networks (who cites a patent, examiner vs applicant origin), citation/family paths between two patents, family coverage, and an applicant's co-applicant network with top CPC and jurisdictions, every edge carrying a confidence tag (EXTRACTED/INFERRED/AMBIGUOUS) and a PATSTAT row provenance ref. Trigger when an agent needs a traversal answer about a specific patent or applicant — "who cites EP3477840", "how are patent X and patent Y connected", "why does this patent matter", "who does this company file with", where a family has coverage — as opposed to corpus aggregate counts (flowleap-patstat), free-text keyword analytics (flowleap analytics), or document retrieval (flowleap-patent/flowleap-ops).

flowleap-ai Skill

Patent-landscape analysis for a technology area — scoped dual-database search, key-player identification, full-corpus filing analytics, and CPC-versus-year white-space detection. Trigger when the user asks to map a technology space, identify who patents in an area, or report filing trends and white space.

igmarin Bundle

Use when auditing a Rails app for XSS, CSRF, SQLi, IDOR, secrets, or auth bypass. Never print secrets. Trigger words: security, audit, XSS, CSRF, SQL injection, vulnerability.

impertio-studio Bundle

Use when navigating PostgreSQL's SQL surface, picking the right system catalog, or learning psql meta-commands. Prevents grabbing information_schema when pg_catalog is faster, or hunting for system info without knowing the catalog map. Covers DDL/DML/DCL/TCL grammar overview, psql meta-commands, pg_catalog vs information_schema decision tree, system catalog map. Keywords: pg_catalog, information_schema, psql, meta-commands, system catalogs, DDL, DML, DCL, TCL, MERGE, ON CONFLICT, where is my table info, how to list users, how to inspect schema, what does \d do